#gpu scheduling

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2 papers match

cs.DC2026

FlashDiff: Efficient Regional Execution and Scheduling for Diffusion Model Serving

Yaqi Qiao, Ping He, Songrun Xie +4

FlashDiff is a system that speeds up diffusion model inference by dynamically selecting which latent regions need further processing and efficiently scheduling those regions across…

#diffusion models#model serving#regional execution#GPU scheduling

cs.PF2026

EMO: Energy Efficiency Modeling and Optimization for AI Workloads

Jiyu Luo, Shaoyu Chen, Jingwei Sun +3

EMO is a lightweight framework that models and optimizes the energy consumption of GPU-accelerated AI workloads by detecting fine‑grained slack in asynchronous execution and applyi…

#energy efficiency#gpu scheduling#ai workloads#asynchronous execution